Production matching for large learning systems
Production matching for large learning systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Composite Events for Active Databases: Semantics, Contexts and Detection
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Actions and Events in Interval Temporal Logic
Actions and Events in Interval Temporal Logic
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
SnoopIB: interval-based event specification and detection for active databases
Data & Knowledge Engineering
Relative temporal constraints in the Rete algorithm for complex event detection
Proceedings of the second international conference on Distributed event-based systems
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
A SPARQL Engine for Streaming RDF Data
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
IEEE Internet Computing
Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
Streaming SPARQL extending SPARQL to process data streams
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
EP-SPARQL: a unified language for event processing and stream reasoning
Proceedings of the 20th international conference on World wide web
A native and adaptive approach for unified processing of linked streams and linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Time – space trade-offs in scaling up RDF schema reasoning
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Incremental reasoning on streams and rich background knowledge
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
StreamRule: a nonmonotonic stream reasoning system for the semantic web
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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Data streams, often seen as sources of events, have appeared on the Web. Stream processing on the Web needs however to cope with the typical openness and heterogeneity of the Web environment. Semantic Web technologies, meant to facilitate data integration in an open environment, can help to address heterogeneities across multiple streams. In this paper we present Sparkwave, an approach for continuous pattern matching over RDF data streams. Sparkwave is based on the Rete algorithm, which allows efficient and truly continuous processing of data streams. Sparkwave is able to leverage RDF schema information associated to data streams to compute entailments, so that implicit knowledge is taken into account for pattern matching. In addition, it further extends Rete to support time-based sliding windows and static data instances, to cope with the streaming nature of processed data and real-world use cases.